Predictive Monitoring of SF6 Gas Leaks in GIS Substations Using Sensor Technology and Machine Learning Models
This project focuses on the main source of SF₆ emissions: GIS substations, which contain large volumes of gas and exhibit a high statistical incidence of leaks. In particular, the Oroya Nueva 220 kV and the Pachachaca 220 kV substations were identified as priority sites.